End of training

README.md

@@ -9,19 +9,19 @@ tags:
 metrics:
 - wer
 model-index:
-- name: Whisper Medium Hi - CKS 0411
+- name: Whisper Medium Hi - CKS 0911
   results: []
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
 should probably proofread and complete it, then remove this comment. -->
 
-# Whisper Medium Hi - CKS 0411
+# Whisper Medium Hi - CKS 0911
 
 This model is a fine-tuned version of [openai/whisper-medium](https://huggingface.co/openai/whisper-medium) on the None dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.3210
-- Wer: 100.1160
+- Loss: 1.4837
+- Wer: 76.8908
 
 ## Model description
 
@@ -54,15 +54,15 @@ The following hyperparameters were used during training:
 
 ### Training results
 
-| Training Loss | Epoch | Step | Validation Loss | Wer      |
-|:-------------:|:-----:|:----:|:---------------:|:--------:|
-| 0.1593        | 0.0   | 1    | 0.3045          | 100.0478 |
-| 0.299         | 0.01  | 2    | 0.3210          | 100.1160 |
+| Training Loss | Epoch | Step | Validation Loss | Wer     |
+|:-------------:|:-----:|:----:|:---------------:|:-------:|
+| 0.5405        | 1.0   | 1    | 1.6214          | 94.9580 |
+| 0.5417        | 2.0   | 2    | 1.4837          | 76.8908 |
 
 
 ### Framework versions
 
 - Transformers 4.36.0.dev0
-- Pytorch 2.1.0+cu118
+- Pytorch 2.1.0
 - Datasets 2.14.6
 - Tokenizers 0.14.1

model.safetensors

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runs/Nov10_06-17-39_eea9008522c6/events.out.tfevents.1699597196.eea9008522c6

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